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Justin Gregoire
Data science professional with 6 years of experience empowering organizations with data and insights. My expertise covers multiple areas: defining metrics and extracting insights with imperfect data; analyzing A/B experiments and using inferential statistics to deduce product impact and opportunity; and building data pipelines to support business intelligence.
I’ve employed my skillset across multiple cross-functional teams within a variety of industries - including ed tech, online mobile gaming, B2B cloud products, and health care.
Professional Experience
Senior Data Scientist
Skillshare
New York, NY
2021
- Embedded within product’s personalization and discovery pods to support experimentation intiatives. Design, analyze, and present findings/recommendations for changes to our recommendation algorithms, new onboarding features, and changes to Search and Browse. This resulted in a 10% increase in overall CTR on our Member Home page.
- Lead data scientist for key strategic initiative called “Marketplace” to explore additional monetization opportunities. Leveraged k-means clustering to identify unique teacher segments. Shared learnings broadly, and partnered with VP of Product to model potential monetization features (I.e. paid 1x1 sessions) using conservative assumptions from the clusters, showing potential sales increases from 5% to 50%.
- Regularly conduct deep-dive analysis of consumer behavior and present findings to relevant stakeholders.
Data Scientist
Skillshare
New York, NY
2021 - 2020
- Worked alongside VP of Growth to conduct a market assessment to inform long-term internationalization strategy. Developed a scoring methodolgy based on external market/demographic metrics, as well as internal site engagement metrics. Results were used to create a phased growth strategy that aligned with long term localization roadmap of the engineering team. Presented analysis and conclusions to CEO and executive team, followed by the broader company once approved.
- Partnered with marketing to develop and implement an improved attribution methodology. Researched various heuristic methods (“first touch”, “last click”, “linear time-decay”, etc.) as well as algorithmic methods, including Markov Chains and Shapley values. Developed criterion for evaluating methods and selected optimal method.
- Built an external facing algorithm projecting teachers’ upcoming monthly royalty payments.
Marketing Analytics Manager
Skillshare
New York, NY
2020 - 2019
- Definied key marketing health metrics, and subsequently built initial analytics pipelines and productionized data models for reporting and analysis.
- Partnered with head of influencer marketing to implement an end-to-end “Influencer Relationship Solution” leveraging Salesforce and 3rd party data from Tubular. Work resulted in a 60% increase in spend while maintaining the baseline ROAS.
- Work allowed
Digital Senior Analyst, Marketing Analytics @ Google
Accenture
San Francisco, CA
2019 - 2018
- Led a team of 4 data analysis supporting analytics initiatives for a key acquisition program. Partnered with marketing, sales, and engineering to define metrics, build data pipelines and reporting, and provide startegic analysis and recommendations.
Digital Analyst @ Zynga
Accenture
San Francisco, CA
2018 - 2016
- Partnered directly with VP of User Acquisition to build out executive-level reporting and implement user LTV modeling so marketers could optimize their budgets in real time. This resulted in returns increasing from 70% to 115% on an annual investment >$100M.